Zhou, S. Kevin

Visual tracking and recognition using appearance-adaptive models in particle filters

Zhou, S. K., Chellappa, R., & Moghaddam, B. (2004) · IEEE Transactions on Image Processing

Video Surveillance and Tracking MethodsAdvanced Image and Video Retrieval Techniques

Cited by 668

FaceNet2ExpNet: Regularizing a Deep Face Recognition Net for Expression Recognition

Ding, H., Zhou, S. K., & Chellappa, R. (2017) · 2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017)

Emotion and Mood RecognitionFace recognition and analysis

Cited by 416

Radiology report generation with a learned knowledge base and multi-modal alignment

Yang, S., Wu, X., Ge, S., Zheng, Z., Zhou, S. K., & Xiao, L. (2023) · Medical Image Analysis

Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education

Cited by 199

Automatic Detection and Segmentation of Lymph Nodes From CT Data

Barbu, A., Suehling, M., Xu, X., Liu, D., Zhou, S. K., & Comaniciu, D. (2012) · IEEE Transactions on Medical Imaging

Medical Image Segmentation TechniquesAI in cancer detection

Cited by 94

SAINT: Spatially Aware Interpolation NeTwork for Medical Slice Synthesis

Peng, C., Lin, W.-A., Liao, H., Chellappa, R., & Zhou, S. K. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Image Processing TechniquesMedical Imaging Techniques and Applications

Cited by 75

Deep generalizable prediction of RNA secondary structure via base pair motif energy

Zhu, H., Tang, F., Quan, Q., Chen, K., Xiong, P., & Zhou, S. K. (2025) · Nature Communications

RNA and protein synthesis mechanismsProtein Structure and Dynamics

Cited by 17

LEGO-GraphRAG: Modularizing Graph-Based Retrieval-Augmented Generation for Design Space Exploration

Cao, Y., Gao, Z., Li, Z., Xie, X., Zhou, S. K., & Xu, J. (2025) · Proceedings of the VLDB Endowment

Topic ModelingAdvanced Graph Neural Networks

Cited by 11

Table2LaTeX-RL: High-Fidelity LaTeX Code Generation from Table Images via Reinforced Multimodal Language Models

Ling, J., Qi, Y., Huang, T., Zhou, S., Huang, Y., Yang, J., Song, Z., Zhou, Y., Yang, Y., Shen, H. T., et al. (2025) · arXiv

Handwritten Text Recognition TechniquesMultimodal Machine Learning Applications

Cited by 2